Will AI replace recycling and reclamation workers?
Unlikely. Most of the work is hard for today's AI to speed up. Recycling and Reclamation Workers score 4 out of 100 (low exposure), #829 of 923 US jobs. AI could speed up 1 of the job's 18 tasks, 1 of them on its own, while 17 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which recycling and reclamation workers tasks can AI do?
The most exposed tasks include "Record logs of recycled materials or waste chemicals removed from products".
Which recycling and reclamation workers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling"; "Clean recycling yard by sweeping, raking, picking up broken glass and loose paper debris, or moving barrels and bins"; "Operate forklifts, pallet jacks, power lifts, or front-end loaders to load bales, bundles, or other heavy items onto trucks for shipping to smelters or other recycled materials processing facilities".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as recycling and reclamation workers, and what do they earn?
About 2,950,280 people in the US (figure for Laborers and Freight, Stock, and Material Movers, Hand), with median pay of $40,240 a year (BLS, May 2025).